Vinay Pasam
@vinaypasam
Business analyst and developer blending Python data insights with process automation.
What I'm looking for
I’m a flexible, performance-oriented professional with hands-on experience in data analysis, software development, and process improvement. I’m known for learning quickly, resolving complex problems, and delivering effective solutions in dynamic, fast-paced environments.
As a Business Analyst Intern at Avijo (Healthtech Startup), I developed financial models for SaaS pricing and revenue strategy, projecting a 12% increase in ARR. I also streamlined operational workflows with SOPs, improving team efficiency and reducing delays by 30%.
Previously, as a Salesforce developer Intern, I built Lightning Web Components (LWC) to improve UI responsiveness and team workflows. I developed Apex-based business logic and integrated REST APIs to automate lead processing and enhance data synchronization.
I apply my technical skills to real outcomes through projects like an Illegal Tree Logging Detection System, achieving 85% accuracy and reducing response time by 60% with automated SMS alerts. I also built a Chest X-ray Image Analysis tool that supports multi-disease detection, including NLP-based radiology report generation to reduce manual input time by 70%.
Experience
Work history, roles, and key accomplishments
Business Analyst Intern
Avijo
Apr 2025 - Oct 2025 (6 months)
Developed financial models for SaaS pricing and revenue strategy, projecting a 12% increase in ARR. Streamlined operational workflows with SOPs, improving team efficiency and reducing delays by 30%, while supporting GTM planning through market research.
Built Lightning Web Components (LWC) to improve UI responsiveness and streamline team workflows. Developed Apex-based business logic and integrated REST APIs to automate lead processing and enhance data synchronization.
Education
Degrees, certifications, and relevant coursework
Siddhartha Academy of Higher Education
Bachelor of Technology, Computer Science (AI & Machine Learning)
Grade: CGPA: 8.7 / 10.0
B.Tech in Computer Science with specialization in AI & Machine Learning, achieving a CGPA of 8.7/10.0.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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